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Updated website (automated commit) – Friday, 11. September 2015 10:48PM
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_sources/documentation.txt

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Documentation
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=============
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IPython manual
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--------------
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* `Current Stable Version (4.0) <https://ipython.readthedocs.org/en/stable>`_
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* `Current Development Version <https://ipython.readthedocs.org/en/latest>`_
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You can download IPython documentation for offline use, and for all version of IPython on
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`GitHub <https://github.com/ipython/ipython-doc/tree/gh-pages>`_.
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`This introduction to some key features
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<http://ipython.org/ipython-doc/stable/interactive/tutorial.html>`_ is a good
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place to start if you haven't used IPython before.
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See below_ for links to all versions of the documentation.
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.. _below: docs_all_releases_
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Other useful documentation
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--------------------------
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* `Presentations <presentation.html>`_ we've
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given at various venues regarding IPython over the years.
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* `Videos and screencasts <videos.html>`_.
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* IPython `screenshots <screenshots/index.html>`_.
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* `IPython quick reference card
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<https://damontallen.github.io/IPython-quick-ref-sheets/>`_.
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* An `article about IPython
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<http://fperez.org/papers/ipython07_pe-gr_cise.pdf>`_, written by Fernando
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Perez and Brian Granger, published in the `May/June 2007 issue
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<http://scitation.aip.org/content/aip/journal/cise/9/3>`_ of
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the journal *Computing in Science and Engineering*.
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External documentation, related presentations and tutorials
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-----------------------------------------------------------
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This is a collection of presentations, often by authors outside of the core
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IPython team. Some are focused on aspects of IPython itself while others may be
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about external projects that use IPython as a key component. If you have any
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material that fits this description, please contact the IPython team and let us
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know about it so we can post it here.
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* The `BCPy2000 project <http://bci2000.org/downloads/BCPy2000/About.html>`_
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offers Python tools for Brain-Computer interface development, and it uses
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IPython in a really neat way to enable interactive debugging of all the
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components as they operate in real-time. `This talk
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<http://videolectures.net/mloss08_hill_bcpy/>`_ presented at the 2008 NIPS
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conference shows the system.
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* `Jose Unpingco <https://www.linkedin.com/pub/jose-unpingco/1/16/299>`_ made this really neat
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`screencast <http://showmedo.com/videotutorials/series?name=XCsI4bsup>`_ showing how
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to couple IPython's parallel capabilities with the `Vision
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<http://mgltools.scripps.edu/packages/vision>`_ environment. Vision is an extremely
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impressive visual programming environment developed by `Michel Sanner's
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<http://www.scripps.edu/sanner>`_ team at the Scripps Institute in La Jolla,
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CA.
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* An `article
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<http://magazine.redhat.com/2008/02/07/python-for-bash-scripters-a-well-kept-secret/>`__
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by Noah Gift on RedHat Magazine that covers using Python, and IPython, as a
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better Bash.
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* An `article
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<https://www.ibm.com/developerworks/aix/library/au-netsnmpnipython>`__ by Noah
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Gift at the IBM Developer Works site, on using the Net-SNMP library to
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interactively explore and manage a network (the interactive part courtesy of
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IPython, of course).
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* A `post and video
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<http://blog.boucault.net/post/2007/12/10/IPython-and-Pigment-simplicity>`_
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about using IPython's GTK support to interactively control a `Pigment
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<https://code.fluendo.com/pigment/trac>`_ application. It also uses the
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IPython demo class.
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* An `article <http://archive09.linux.com/feature/47635>`__ at Linux.com about
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IPython, by Conrad Koziol.
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* An `article <http://www.onlamp.com/pub/a/python/2005/01/27/ipython.html>`__ by
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Jeremy Jones at ONLamp.com, introducing IPython to new users and giving a
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tour of its features as a replacement for the default Python shell.
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* The O'Reilly book `"Python for Unix and Linux System Administration"
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<http://shop.oreilly.com/product/9780596515829.do>`_ has a chapter (the first, and
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largest one) on IPython. IPython is also used throughout the book to
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illustrate other Python technologies.
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Other projects using IPython
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----------------------------
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Current Documentation
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---------------------
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`Here <https://github.com/ipython/ipython/wiki/Projects-using-IPython>`_ you can
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find a list of projects that use IPython in one form or another. If you use
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IPython as part of a project, please do add your information to this page or
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email `Fernando.Perez@Berkeley.edu <mailto:Fernando.Perez@Berkeley.edu>`_ and
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I'll be happy to add it. Also, if your project is of academic relevance,
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please `provide a citation to IPython <citing.html>`_.
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IPython is developed as a set of Subprojects under the larger Project Jupyter umbrella. The documentation of each Subproject is now being hosted on `Read the Docs <https://readthedocs.org/>`_:
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.. footer::
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`Main Documentation Site for Jupyter and IPython <http://jupyter.readthedocs.org/en/latest/>`_
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These documents themselves are maintained as a `git repository
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<https://github.com/ipython/ipython-doc>`_ on GitHub, using the `GitHub
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project pages feature <https://pages.github.com/>`_.
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This website includes the documentation for the Jupyter Notebook as well as the IPython kernel
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and other related projects.
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.. _docs_all_releases:
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Docs for all releases
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---------------------
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Documentation for previous releases
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-----------------------------------
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* `3.x <http://ipython.org/ipython-doc/3/index.html>`__
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* `2.x <http://ipython.org/ipython-doc/2/index.html>`__

_sources/project.txt

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==========
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Project
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==========
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IPython is BSD-licensed, open-source software that is developed as a set of Subprojects under the
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`ipython <https://github.com/ipython>`_ Github organization. These Subprojects are all part of the
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larger `Project Jupyter <http://jupyter.org/>`_ umbrella. For further information about project
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governance, sponsorship and development, please see the `Project page
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<http://jupyter.org/about.html>`_ on Jupyter's website.
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_sources/showmedo.txt

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_sources/sponsors.txt

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_sources/videos.txt

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